mirror of
https://github.com/hiyouga/LLaMA-Factory.git
synced 2025-08-01 11:12:50 +08:00
64 lines
1.7 KiB
Docker
64 lines
1.7 KiB
Docker
# https://hub.docker.com/r/ascendai/cann/tags
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ARG BASE_IMAGE=ascendai/cann:8.1.rc1-910b-ubuntu22.04-py3.11
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FROM ${BASE_IMAGE}
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# Installation arguments
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ARG PIP_INDEX=https://pypi.org/simple
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ARG EXTRAS=torch-npu,metrics
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ARG HTTP_PROXY=""
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ARG PYTORCH_INDEX=https://download.pytorch.org/whl/cpu
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# Define environments
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ENV MAX_JOBS=16
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ENV FLASH_ATTENTION_FORCE_BUILD=TRUE
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ENV VLLM_WORKER_MULTIPROC_METHOD=spawn
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ENV DEBIAN_FRONTEND=noninteractive
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ENV NODE_OPTIONS=""
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ENV PIP_ROOT_USER_ACTION=ignore
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ENV http_proxy="${HTTP_PROXY}"
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ENV https_proxy="${HTTP_PROXY}"
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# Use Bash instead of default /bin/sh
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SHELL ["/bin/bash", "-c"]
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# Set the working directory
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WORKDIR /app
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# Change pip source
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RUN pip config set global.index-url "${PIP_INDEX}" && \
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pip config set global.extra-index-url "${PIP_INDEX}" && \
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pip install --no-cache-dir --upgrade pip packaging wheel setuptools
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# Install torch-npu
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RUN pip uninstall -y torch torchvision torchaudio && \
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pip install --no-cache-dir "torch-npu==2.5.1" "torchvision==0.20.1" --index-url "${PYTORCH_INDEX}"
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# Install the requirements
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COPY requirements.txt /app
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy the rest of the application into the image
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COPY . /app
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# Install LLaMA Factory
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RUN pip install --no-cache-dir -e ".[${EXTRAS}]" --no-build-isolation
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# Set up volumes
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# VOLUME [ "/root/.cache/huggingface", "/app/shared_data", "/app/output" ]
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# Expose port 7860 for LLaMA Board
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ENV GRADIO_SERVER_PORT=7860
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EXPOSE 7860
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# Expose port 8000 for API service
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ENV API_PORT=8000
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EXPOSE 8000
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# unset proxy
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ENV http_proxy=
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ENV https_proxy=
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# Reset pip config
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RUN pip config unset global.index-url && \
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pip config unset global.extra-index-url
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